This repository provides material used for the class Optimal and learning control for robotics (ECE-9243 / ME-GY 7973) taught at New York University by Ludovic Righetti. Anyone is free to use and copy this material (at their own risk!), please reference the material if you use it.
We work with Python 2.7 - numpy, scipy and matlplotlib are recommended libraries to install (come with Anaconda by default). Most the material is given as Jupyter notebooks.
Anaconda is a straightforward, multi-platform, easy-to-use python distribution. It can be downloaded here https://www.anaconda.com/download/ and extensive documentation is available here https://docs.anaconda.com/anaconda/
Jupyter (comes with default Anaconda installation) is a great way to create notebooks for python. A simple tutorial can be found here https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/
Python tutorial (the web is full of great tutorials). Here are links to start: https://docs.python.org/2.7/tutorial/index.html
Numpy for people coming from Matlab: http://mathesaurus.sourceforge.net/matlab-numpy.html
Plotting with Python: http://matplotlib.org/users/pyplot_tutorial.html